| 基于机器学习的儿科急诊患者候诊时间预测及关联分析研究 |
| 修订日期：2022-01-24 点此下载全文 |
| 引用本文：郭琳琳,魏永祥,郭琳瑛,等.基于机器学习的儿科急诊患者候诊时间预测及关联分析研究[J].医学信息学杂志,2022,43(4):33-39 |
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| 基金项目:首都儿科研究所所级基金(项目编号:SK-2021-04)。 |
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| 中文摘要:以首都儿科研究所附属儿童医院急诊患者就诊数据为基础,设计并提取19个就诊时间相关变量,构建6种不同的机器学习模型,用于儿科急诊就诊患者候诊时间预测,经检验预测模型表现良好。本研究有助于医院动态分配医疗资源,缓解急诊科拥挤程度,提高患者就诊满意度。 |
| 中文关键词:儿科急诊 机器学习 候诊时间 预测 |
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| Study on Prediction and Correlation Analysis of Pediatric Emergency Patients' Waiting Time Based on Machine Learning Algorithms |
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| Abstract:Based on emergency patients’ records of Children’s Hospital, Capital Institute of Pediatrics, 19 visit time-related variables are designed to construct 6 different machine learning models to predict the waiting time of patients in pediatric emergency department. The test results show that the prediction models perform well. This study helps hospital managers to dynamically allocate medical resources, relieve crowdedness in emergency departments, and improve patient satisfaction. |
| keywords:pediatric emergency machine learning waiting time prediction |
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